


"""simple docstring"""



from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_							=							logging.get_logger(__name__)

lowercase_							=							{
    'microsoft/xprophetnet-large-wiki100-cased': (
        'https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json'
    ),
}







class    __a						( __snake_case							):
				lowerCamelCase     :       Tuple			       ='xlm-prophetnet'
				lowerCamelCase     :       Any			       =['past_key_values']
				lowerCamelCase     :       Dict			       ={
				    'num_attention_heads': 'num_encoder_attention_heads',
				}







				def __init__( self      ,	UpperCAmelCase = 0.1      ,	UpperCAmelCase = "gelu"      ,	UpperCAmelCase = 3_0522      ,	UpperCAmelCase = 1024      ,	UpperCAmelCase = 4096      ,	UpperCAmelCase = 12      ,	UpperCAmelCase = 16      ,	UpperCAmelCase = 4096      ,	UpperCAmelCase = 12      ,	UpperCAmelCase = 16      ,	UpperCAmelCase = 0.1      ,	UpperCAmelCase = 0.1      ,	UpperCAmelCase = 512      ,	UpperCAmelCase = 0.0_2      ,	UpperCAmelCase = True      ,	UpperCAmelCase = True      ,	UpperCAmelCase = 0      ,	UpperCAmelCase = 2      ,	UpperCAmelCase = 32      ,	UpperCAmelCase = 128      ,	UpperCAmelCase = False      ,	UpperCAmelCase = 0.0      ,	UpperCAmelCase = True      ,	UpperCAmelCase = 0      ,	UpperCAmelCase = 1      ,	UpperCAmelCase = 2      ,	**UpperCAmelCase      ,	):

					'''simple docstring'''






					lowerCAmelCase_      							=			vocab_size
					lowerCAmelCase_      							=			hidden_size
					lowerCAmelCase_      							=			encoder_ffn_dim
					lowerCAmelCase_      							=			num_encoder_layers
					lowerCAmelCase_      							=			num_encoder_attention_heads
					lowerCAmelCase_      							=			decoder_ffn_dim
					lowerCAmelCase_      							=			num_decoder_layers
					lowerCAmelCase_      							=			num_decoder_attention_heads
					lowerCAmelCase_      							=			max_position_embeddings
					lowerCAmelCase_      							=			init_std  # Normal(0, this parameter)
					lowerCAmelCase_      							=			activation_function

					# parameters for xlmprophetnet
					lowerCAmelCase_      							=			ngram
					lowerCAmelCase_      							=			num_buckets
					lowerCAmelCase_      							=			relative_max_distance
					lowerCAmelCase_      							=			disable_ngram_loss
					lowerCAmelCase_      							=			eps

					# 3 Types of Dropout
					lowerCAmelCase_      							=			attention_dropout
					lowerCAmelCase_      							=			activation_dropout
					lowerCAmelCase_      							=			dropout

					lowerCAmelCase_      							=			use_cache

					super().__init__(
					    pad_token_id=UpperCAmelCase      ,	bos_token_id=UpperCAmelCase      ,	eos_token_id=UpperCAmelCase      ,	is_encoder_decoder=UpperCAmelCase      ,	add_cross_attention=UpperCAmelCase      ,	decoder_start_token_id=UpperCAmelCase      ,	**UpperCAmelCase      ,	)







				@property
				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					return self.num_encoder_layers + self.num_decoder_layers







				@num_hidden_layers.setter
				def      lowerCamelCase_     ( self      ,	UpperCAmelCase   ):

					'''simple docstring'''






					raise NotImplementedError(
					    '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
					    ''' `num_decoder_layers`.'''   )



"""simple docstring"""



def      UpperCAmelCase     (       _lowercase :   int = 1_0_0_0	)						-> int:


	"""simple docstring"""




	lowerCAmelCase_							,	lowerCAmelCase_      							=			1, 1
	lowerCAmelCase_      							=			[]
	for i in range(1			,   n + 1	):
		lowerCAmelCase_      							=			prev_numerator + 2 * prev_denominator
		lowerCAmelCase_      							=			prev_numerator + prev_denominator
		if len(str(_lowercase	)	) > len(str(_lowercase	)	):
			result.append(_lowercase	)
		lowerCAmelCase_      							=			numerator
		lowerCAmelCase_      							=			denominator

	return len(_lowercase	)


if __name__ == "__main__":
		print(f"""{solution() = }""")